• 한국응용과학기술학회지
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• 제39권2호
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• pp.348-358
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• 2022

본 연구는 여성 소비자의 외모만족도가 아이 메이크업 관심도 및 메이크업 관리행동에 미치는 영향을 검증하고, 아이 메이크업 화장품 시장에서의 마케팅 전략 수립 및 화장품 개발의 기초 자료를 제공하고자 하였다. 수도권 지역의 20-50대 여성을 대상으로 399부의 자료를 최종 분석하여 사용하였다. 연구결과, 첫째, 일반적 특성에 따른 외모만족도, 아이 메이크업 관심도, 아이 메이크업 관리행동에서는 각 요인에 따라 차이가 나타났으나, 아이 메이크업에 대한 관심은 자신에 대한 관리로부터 시작되며 유행을 따르는 것에 관심을 가지는 것을 알 수 있었다. 둘째, 외모만족도가 아이 메이크업 관심도에 미치는 영향에서는 이목구비에 대한 외모만족도가 높을수록 아이 메이크업 관심도가 높게 나타났다. 셋째, 외모만족도가 아이 메이크업 관리행동에 미치는 영향에서는 피부상태에 대한 외모만족도가 높을수록 유행선도형 메이크업 관리행동이 높게 나타났다. 결론적으로 외모만족도가 높을수록 아이 메이크업 관심도가 높아지고 메이크업 관리행동에 영향을 미치는 것을 알 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5344-5356
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• 2018

Nowadays with the help of Location-Based Social Networks (LBSNs), users of Point-of-Interest (POI) recommendation service in LBSNs are able to publish their geo-tagged information and physical locations in the form of sign-ups and share their experiences with friends on POI, which can help users to explore new areas and discover new points-of-interest, and promote advertisers to push mobile ads to target users. POI recommendation service in LBSNs is attracting more and more attention from all over the world. Due to the sparsity of users' activity history data set and the aggregation characteristics of sign-in area, conventional recommendation algorithms usually suffer from low accuracy. To address this problem, this paper proposes a new recommendation algorithm based on a novel Preference-Content-Region Model (PCRM). In this new algorithm, three kinds of information, that is, user's preferences, content of the Point-of-Interest and region of the user's activity are considered, helping users obtain ideal recommendation service everywhere. We demonstrate that our algorithm is more effective than existing algorithms through extensive experiments based on an open Eventbrite data set.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.741-744
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• 1996

Artifical Neural Network(ANN) models were used for forecasting interest rate as a new methodology, which has proven itself successful in financial domain. This research intended to construct ANN models which can maximize the performance of prediction, regarding Corporate Bond Yield (CBY) as interest rate. Synergistic Market Analysis (SMA) was applied to the construction of models [Freedman et al.]. In this aspect, while the models which consist of only time series data for corporate bond yield were devloped, the other models generated through conjunction and reorganization of fundamental variables and market variables were developed. Every model was constructed to predict 1,6, and 12 months after and we obtained 9 ANN models for interest rate forecasting. Multi-layer perceptron networks using backpropagation algorithm showed good performance in the prediction for 1 and 6 months after.

• 한국경영과학회지
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• 제27권4호
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• pp.167-184
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• 2002

The importance of competitive intelligence (CI), which collects/uses information about competitors, industries, etc., has been increased due to the rapidly changing business environment of today. However, there exist few domestic researches on CI. With this background, a study of domestic companies was performed that examines how the enterprise characteristics, the interest on CI, and the informatization level affect the way/level and outcome of CI. Results showed that bigger enterprises have the higher interest on CI than smaller ones and enterprises having high interest perform CI activities systematically and variously including using the internet. Further, the results uncovered the enterprises performing CI actively use the information acquired from the activity effectively in their business. The results also revealed that there are no difference between the IT companies and the others and that the jnformatization level is irrelevant to the internet CI activity level.

• Journal of the Korean Statistical Society
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• 제9권2호
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• pp.145-172
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• 1980

Draper and Lawrence (1965a) have given mixture designs for three factors when all the mixture components can vary on the entire factor space so that the region of interest is an equilateral triangle in two dimensions. In this paper their work is extended to the cases when the region of interest is an echelon, parallelogram, pentagon or hexagon, because of the restirctions imposed on some or all of the mixture components. The principles used in the choice of appropriate designs are those originally introduced by Box and Draper(1959). It is assumed that a response surface equation of first order is fitted, but there is a possibility of bias error due to presence of second order terms in the true model. Minimum bias designs for several cases of restricted regions of interest are illustrated.

• 농업생명과학연구
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• 제43권5호
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• pp.33-38
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• 2009

This study purposed to examine how the window display of flower shops affects consumers' buying desire, and for this purpose, we surveyed flower buying customers' interest in window display according to their gender, age, and occupation. The survey was conducted using a questionnaire with flower shop customers in Seoul, Daegu, and Gyeongju. Interest in window display was over 1.5 times higher in women than in men. Among criteria for choosing a flower shop, window display was more important than other factors. With regard to experience of being stopped by unique window display, many of the respondents replied that they had such an experience, and the frequency was higher among women than among men. Among different types of window display, theme-type window display was most effective m stimulating customers' curiosity and buying desire. According to occupation, housewives showed particularly high interest in window display. The results of this study show that the window display of flower shops has a significant effect on consumers' buying desire.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2003년도 가을학술발표대회
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• pp.70-71
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• 2003

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2005년도 춘계 학술발표대회 논문집
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• pp.140-141
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• 2005

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.591-599
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• 2020

This study examines how the health of the banks in ASEAN-3 countries namely Indonesia, Malaysia and Thailand respond to the change in exchange rates and foreign interest rates in four large economies. The transmissions of the two external factors through domestic factors in each ASEAN-3 countries eventually affects Non-Performing Loan (NPL) of commercial banks. This study uses the monthly time series data and the renowned Structural Vector Autoregressive (VAR) model comprising five variables, namely exchange rate, foreign interest rate, domestic interest rate, money supply, and non-performing loan (NPL). The results indicate that there are different effects between ASEAN-3 countries, which can be classified as short-run effect and long-run effect. In the long run effect, external factors have a dominant role in determining NPL in ASEAN-3 countries. Yuan has the biggest effect on Malaysia's NPL, while Indonesia is more affected by European interest rates rather than the fluctuation of the US currency and China's interest rates. Among ASEAN-3 countries, Malaysia is the one that is the most vulnerable to external factors. While Thailand's NPL is affected dominantly by domestic factors. This study shows that the Fed Funds Rate (US official interest rate) is not always the dominant factor affecting the health of domestic banks in ASEAN-3.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.31-38
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• 2021

This study contributes to the existing literature and tries to analyze the validity of the Fisher hypothesis in the Philippines. Using monthly data from January 1995 to December 2020, the empirical analysis used the Engle-Granger and Johansen cointegration testing technique. The correlation coefficient suggests a strong positive association. All things being equal, a rise in inflation leads to a rise in the nominal interest rate. The unit-root tests show that inflation and the nominal interest rate are both stationary. Based on both Engle-Granger and cointegrating regression Durbin-Watson tests, the nominal interest rate and inflation are cointegrated. Likewise, the results from Johansen cointegration indicate that there exists a long-run relationship between the variables. However, we rejected a one-to-one relationship between nominal interest rate and inflation. The error correction term coefficient (ECM) shows that it is statistically significant suggesting that the nominal interest rate adjusts to the inflation rate with a lag. The Pair-wise Granger Causality test reported a bi-directional causal relationship between nominal interest rate and inflation. Inflation targeting has been the monetary policy framework of choice for most central banks. In essence, the conclusions of this study are useful to central banks because they help them better comprehend the long-run equilibrium relationship between the nominal interest rate and inflation.